Abstract #2891

Matching Error Evaluation in Magnetic Resonance Fingerprinting with a Fast Imaging with Steady Precession sequence using Bloch Equation Simulations with a Diffusion Propagator

Shota Hodono¹, Yun Jiang², Gregor Körzdörfer^3,4, Naren Nallapareddy⁵, Vikas Gulani², and Mark Griswold²

¹Physics and Astronomy, Ohio Northern University, Ada, OH, United States, ²Radiology, Case Western Reserve University, Cleveland, OH, United States, ³Siemens Healthcare, Erlangen, Germany, ⁴Friedrich-Alexander Universität Erlangen-Nürnberg, Erlangen, Germany, ⁵Biomedical Engineering, Case Western Reserve University, Cleveland, OH, United States

The robustness of T₁, T₂ values derived from Magnetic Resonance Fingerprinting (MRF) is limited in certain situations because MRF dictionaries have in general not included apparent diffusion coefficients (ADC). In this study, the potential estimated T₁, T₂ errors due to the omission of diffusion were evaluated for the MRF-fast imaging with steady precession sequence. Dictionaries with ADC values were generated by using Bloch equations with a diffusion propagator. The generated signal evolutions with ADC were matched to those generated by Bloch equation simulations without ADC by employing a template-matching algorithm.

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